Abstract
Cloud computing is a general term for anything that involves delivering hosted services over the Internet. However, the search engines specialized for users who want to find a Cloud service do not exist at present. This paper introduces Cloudle—an ontology-enhanced Cloud service search engine that consults a Cloud ontology for reasoning about the relations among Cloud services. A Cloud ontology contains a set of Cloud concepts, individuals of those concepts, and the relationship among those individuals. For calculating the similarity between two individuals with the Cloud ontology, we devised and implemented three kinds of reasoning methods, (1) concept similarity reasoning, (2) object property similarity reasoning, and (3) datatype property similarity reasoning. Finally, the empirical results show that the result using Cloudle with the Cloud ontology has better performance in finding the appropriate Cloud service than the result using Cloudle without the Cloud ontology and the result without Cloudle.
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References
Vaquero, L.M., Rodero-Merino, L., Caceres, J., Lindner, M.: A Break in the Clouds: Towards a Cloud Definition. ACM SIGCOMM Computer Communication Review 39(1), 50–55 (2009)
Youseff, L., Butrico, M., Da Silva, D.: Toward a Unified Ontology of Cloud Computing. In: Grid Computing Environments Workshop, GCE 2008 (2008)
Sheu, P.C.-Y., Wang, S., Wang, Q., Hao, K., Paul, R.: Semantic Computing, Cloud Computing, and Semantic Search Engine. In: 2009 IEEE International Conference on Semantic Computing (2009)
Kang, J., Sim, K.M.: Cloudle: An Agent-based Cloud Search Engine that Consults a Cloud Ontology. In: Cloud Computing and Virtualization Conference, CCV 2010 (2010)
Stuckenschmidt, H.: Ontology-based information sharing in weekly structured environments, Ph.D. thesis, AI Department, Vrije University Amsterdam (2002)
Maedche, A., Staab, S.: Ontology Learning for the Semantic Web. IEEE Intelligent Systems 16(2), 72–79 (2001)
FIPA 2001, Foundation for intelligent physical agents. FIPA Ontology Service Specification, http://www.fipa.org/specs/fipa00086/XC00086D.html
Fensel, D.: Ontologies: A silver bullet for knowledge management and electronic commerce. Springer, Heidelberg (2003)
Fensel, D.: Understanding, Developing and Reusing Problem-Solving Methods. To appear as Lecture Notes of Artificial Intelligence (LNAI). Springer, Berlin (2000)
Gruber, T.R.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5, 199–220 (1993)
Lenat, D.B., Guha, R.: Building large knowledge-based systems. In: Representation and Inference in the Cyc project. Addison-Wesley, Reading (1990)
Andreasen, T., Bulskov, H., Kanppe, R.: From Ontology over Similarity to Query Evaluation. In: 2nd International Conference on Ontologies, Databases, and Applications of Semantics for Large Scale Information Systems (ODBASE), Catania, Sicily, Italy, November 3-7 (2003)
Kang, J., Sim, K.M.: Cloudle: A Multi-criteria cloud service search engine. To appear in the Proceedings of the 2010 IEEE Asia-Pacific Services Computing Conference, Hangzhou, China, December 6-10 (2010)
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Kang, J., Sim, K.M. (2011). Cloudle: An Ontology-Enhanced Cloud Service Search Engine. In: Chiu, D.K.W., et al. Web Information Systems Engineering – WISE 2010 Workshops. WISE 2010. Lecture Notes in Computer Science, vol 6724. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24396-7_33
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DOI: https://doi.org/10.1007/978-3-642-24396-7_33
Publisher Name: Springer, Berlin, Heidelberg
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